Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14913A97252406D3B121B4AC0F978AB5D7CA3D30FCA0A11AC9BF557B43FE6C61EC0A569 |
|
CONTENT
ssdeep
|
384:AQHmJVg0lPM8kHFBndTB55wAmn/T02yoev+Gnqke4mAi8W7YafyW4Qrmg:jCVlPnYbdN55wAmn/T02yv48SyWF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
998b2a262a8b9baf |
|
VISUAL
aHash
|
01183c3c00000000 |
|
VISUAL
dHash
|
0d32317016001003 |
|
VISUAL
wHash
|
3f3f3c3cd8c8ce00 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
0d32317016001003 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 4 techniques to evade detection by security scanners and make reverse engineering more difficult.